SPX Express] Senior Associate, Business Product Management (AI Solutions)
Shopee Xem tất cả việc làm
- Tp Hồ Chí Minh
- Lâu dài
- Toàn thời gian
- Analyze end-to-end business processes (As-is vs To-be) across Workforce, Finance, Risk & Back Office.
- Identify bottlenecks, inefficiencies, and automation opportunities.
- Break down complex business problems into structured, solvable components.
- Redesign workflows with a product mindset, focusing on user experience (Ops, staff, stakeholders).
- Design AI-powered solutions to enhance workflows:
- Define AI workflows (input → decision → output → fallback → feedback loop).
- Build and orchestrate AI agents / bots for automation across processes.
- Analyze operational data to identify root causes and improvement opportunities.
- Translate data insights into actionable AI use cases.
- Define success metrics: automation rate, time saved, accuracy improvement, cost reduction.
- Leverage AI tools and platforms to build scalable solutions: AI APIs, LLMs, automation tools, workflow engines
- Integrate AI into existing systems (Ops tools, Finance systems, Risk platforms).
- Design reusable AI components for cross-domain scalability.
- Drive adoption of AI-powered workflows across teams.
- Train and enable stakeholders (Ops, Finance, Risk teams).
- Communicate clearly the value and impact of AI transformation.
- Manage resistance and ensure smooth transition from manual to automated processes.
- Ensure AI solutions comply with:
- Design guardrails: thresholds, fallback logic, audit logs, human-in-the-loop.
- Work closely with Risk & Security teams to ensure safe deployment.
- Product Mindset: Apply user-centric principles to transform complex back-office workflows into functional products.
- Data-Driven Analysis: Utilize advanced analytical tools to identify operational bottlenecks and enhance system efficiency.
- AI Solution Design: Design innovative AI frameworks to automate manual finance and risk management processes.
- Quick Learning: Adapt rapidly to evolving technologies and specialized domain knowledge within the industry.
- Experience in Logistics / Workforce / Finance Ops
- Exposure to AI platform or internal tool building
- Familiarity with data tools (SQL, dashboards, analytics)
- Experience with automation platforms